Starting... No seed - create brand new 601922 File image /tmp/tmplhzg0hznComfyUI_temp_lobef_00001_.png Prompting {'1': {'inputs': {'seed': 601922, 'steps': 25, 'cfg': 7, 'sampler_name': 'euler', 'scheduler': 'sgm_uniform', 'denoise': 1, 'model': ['28', 0], 'positive': ['507', 0], 'negative': ['502', 0], 'latent_image': ['11', 0]}, 'class_type': 'KSampler', '_meta': {'title': 'KSampler'}}, '3': {'inputs': {'text': 'person(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation, text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, closed-eyes, ugly-eyes, lazy eyes, JuggernautNegative, JuggernautNegative-neg, nude, nsfw, naked, epiCNegative, realisticvision-negative-embedding\n', 'clip': ['17', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Prompt)'}}, '4': {'inputs': {'samples': ['1', 0], 'vae': ['17', 2]}, 'class_type': 'VAEDecode', '_meta': {'title': 'VAE Decode'}}, '5': {'inputs': {'image': 'tmp_image.png', 'upload': 'image'}, 'class_type': 'LoadImage', '_meta': {'title': 'Load Image'}}, '11': {'inputs': {'samples': ['488', 0], 'mask': ['117', 0]}, 'class_type': 'SetLatentNoiseMask', '_meta': {'title': 'Set Latent Noise Mask'}}, '15': {'inputs': {'strength': 1, 'start_percent': 0.031, 'end_percent': 1, 'positive': ['493', 0], 'negative': ['3', 0], 'control_net': ['18', 0], 'image': ['46', 0], 'timestep_kf': ['22', 1], 'weights_override': ['22', 0]}, 'class_type': 'ACN_AdvancedControlNetApply', '_meta': {'title': 'Apply Advanced ControlNet 🛂🅐🅒🅝'}}, '17': {'inputs': {'ckpt_name': 'Realistic_Vision_V6.0_NV_B1_inpainting.safetensors'}, 'class_type': 'CheckpointLoaderSimple', '_meta': {'title': 'Load Checkpoint'}}, '18': {'inputs': {'control_net_name': 'control_v11p_sd15_inpaint_fp16.safetensors'}, 'class_type': 'ControlNetLoader', '_meta': {'title': 'Load ControlNet Model'}}, '22': {'inputs': {'base_multiplier': 0.825, 'flip_weights': False}, 'class_type': 'ScaledSoftControlNetWeights', '_meta': {'title': 'Scaled Soft Weights 🛂🅐🅒🅝'}}, '28': {'inputs': {'weight': 1, 'noise': 0.6, 'weight_type': 'linear', 'start_at': 0, 'end_at': 1, 'unfold_batch': False, 'ipadapter': ['29', 0], 'clip_vision': ['30', 0], 'image': ['73', 0], 'model': ['17', 0]}, 'class_type': 'IPAdapterApply', '_meta': {'title': 'Apply IPAdapter'}}, '29': {'inputs': {'ipadapter_file': 'ip-adapter_sd15.safetensors'}, 'class_type': 'IPAdapterModelLoader', '_meta': {'title': 'Load IPAdapter Model'}}, '30': {'inputs': {'clip_name': 'CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}, '31': {'inputs': {'clip_vision': ['34', 0], 'image': ['73', 0]}, 'class_type': 'CLIPVisionEncode', '_meta': {'title': 'CLIP Vision Encode'}}, '32': {'inputs': {'conditioning': ['15', 0], 'style_model': ['33', 0], 'clip_vision_output': ['31', 0]}, 'class_type': 'StyleModelApply', '_meta': {'title': 'Apply Style Model'}}, '33': {'inputs': {'style_model_name': 'coadapter-style-sd15v1.pth'}, 'class_type': 'StyleModelLoader', '_meta': {'title': 'Load Style Model'}}, '34': {'inputs': {'clip_name': 'pytorch_model.bin'}, 'class_type': 'CLIPVisionLoader', '_meta': {'title': 'Load CLIP Vision'}}, '46': {'inputs': {'image': ['528', 0], 'mask': ['117', 0]}, 'class_type': 'InpaintPreprocessor', '_meta': {'title': 'Inpaint Preprocessor'}}, '73': {'inputs': {'side_length': 1024, 'side': 'Longest', 'upscale_method': 'nearest-exact', 'crop': 'disabled', 'image': ['5', 0]}, 'class_type': 'Image scale to side', '_meta': {'title': 'Image scale to side'}}, '76': {'inputs': {'mask': ['528', 1]}, 'class_type': 'MaskToImage', '_meta': {'title': 'Convert Mask to Image'}}, '78': {'inputs': {'side_length': 1024, 'side': 'Longest', 'upscale_method': 'nearest-exact', 'crop': 'disabled', 'image': ['76', 0]}, 'class_type': 'Image scale to side', '_meta': {'title': 'Image scale to side'}}, '80': {'inputs': {'channel': 'red', 'image': ['78', 0]}, 'class_type': 'ImageToMask', '_meta': {'title': 'Convert Image to Mask'}}, '117': {'inputs': {'expand': 0, 'tapered_corners': True, 'mask': ['80', 0]}, 'class_type': 'GrowMask', '_meta': {'title': 'GrowMask'}}, '201': {'inputs': {'images': ['412', 0]}, 'class_type': 'PreviewImage', '_meta': {'title': 'Preview Image'}}, '401': {'inputs': {'mask': ['528', 1]}, 'class_type': 'InvertMask', '_meta': {'title': 'InvertMask'}}, '405': {'inputs': {'mask': ['401', 0]}, 'class_type': 'MaskToImage', '_meta': {'title': 'Convert Mask to Image'}}, '412': {'inputs': {'resize_behavior': 'resize', 'image_base': ['4', 0], 'image_to_paste': ['5', 0], 'mask': ['405', 0]}, 'class_type': 'Paste By Mask', '_meta': {'title': 'Paste By Mask'}}, '488': {'inputs': {'pixels': ['528', 0], 'vae': ['17', 2]}, 'class_type': 'VAEEncode', '_meta': {'title': 'VAE Encode'}}, '491': {'inputs': {'blip_model': 'caption'}, 'class_type': 'BLIP Model Loader', '_meta': {'title': 'BLIP Model Loader'}}, '492': {'inputs': {'mode': 'caption', 'question': 'What does the background consist of?', 'image': ['5', 0], 'blip_model': ['491', 0]}, 'class_type': 'BLIP Analyze Image', '_meta': {'title': 'BLIP Analyze Image'}}, '493': {'inputs': {'text': ['492', 0], 'clip': ['17', 1]}, 'class_type': 'CLIPTextEncode', '_meta': {'title': 'CLIP Text Encode (Prompt)'}}, '496': {'inputs': {'control_net_name': 'control_v11p_sd15_canny.pth'}, 'class_type': 'ControlNetLoaderAdvanced', '_meta': {'title': 'Load Advanced ControlNet Model 🛂🅐🅒🅝'}}, '497': {'inputs': {'strength': 1, 'start_percent': 0, 'end_percent': 1, 'positive': ['15', 0], 'negative': ['15', 1], 'control_net': ['496', 0], 'image': ['508', 0]}, 'class_type': 'ControlNetApplyAdvanced', '_meta': {'title': 'Apply ControlNet (Advanced)'}}, '502': {'inputs': {'conditioning_1': ['504', 1], 'conditioning_2': ['3', 0]}, 'class_type': 'ConditioningCombine', '_meta': {'title': 'Merge Negative Prompts'}}, '503': {'inputs': {'control_net_name': 'control_v11f1e_sd15_tile.pth'}, 'class_type': 'ControlNetLoaderAdvanced', '_meta': {'title': 'Load Advanced ControlNet Model 🛂🅐🅒🅝'}}, '504': {'inputs': {'strength': 1, 'start_percent': 0, 'end_percent': 1, 'positive': ['497', 0], 'negative': ['497', 1], 'control_net': ['503', 0], 'image': ['527', 0]}, 'class_type': 'ControlNetApplyAdvanced', '_meta': {'title': 'Apply ControlNet (Advanced)'}}, '507': {'inputs': {'conditioning_1': ['32', 0], 'conditioning_2': ['504', 0]}, 'class_type': 'ConditioningCombine', '_meta': {'title': 'Merge Positive Prompts'}}, '508': {'inputs': {'enable_threshold': 'true', 'threshold_low': 0.1, 'threshold_high': 0.5, 'images': ['73', 0]}, 'class_type': 'Image Canny Filter', '_meta': {'title': 'Image Canny Filter'}}, '527': {'inputs': {'pyrUp_iters': 3, 'resolution': 1024, 'image': ['73', 0]}, 'class_type': 'TilePreprocessor', '_meta': {'title': 'Tile'}}, '528': {'inputs': {'left': 0, 'top': 0, 'right': 512, 'bottom': 0, 'feathering': 40, 'image': ['73', 0]}, 'class_type': 'ImagePadForOutpaint', '_meta': {'title': 'Pad Image for Outpainting'}}} got prompt [32m[rgthree] Using rgthree's optimized recursive execution.[0m [32m[rgthree][0m First run patching recursive_output_delete_if_changed and recursive_will_execute.[0m [33m[rgthree] Note: [0mIf execution seems broken due to forward ComfyUI changes, you can disable the optimization from rgthree settings in ComfyUI.[0m model_type EPS adm 0 Using pytorch attention in VAE Working with z of shape (1, 4, 32, 32) = 4096 dimensions. Using pytorch attention in VAE clip missing: ['clip_l.text_projection', 'clip_l.logit_scale'] clip unexpected: ['clip_l.transformer.text_model.embeddings.position_ids'] left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod']) Requested to load CLIPVisionModelProjection Loading 1 new model vocab.txt: 0%| | 0.00/232k [00:00